Affiliation:
1. Usha Pravin Gandhi College of Arts, Science and Commerce, Mumbai, India
Abstract
Due to the complexity and heterogeneity of technology, devices, data and computation, Internet of Things (IoT) systems are vulnerable to the cyber-attacks. Many cyber security risk assessment frameworks dedicated to IoT systems are under study. This study introduces the unique risk ranking method by calculating risk impact and risk likelihood by quantifying them. This unique computational approach is applied in the context of medial domain to calculate risk ranking of two medical devices used in medical IoT-based system.